לוח משרות דרושים מתכנת Python בתל אביב יפו, לחיפוש זה נמצאו 103 משרות

Requirements:
Bachelors or above degree in Computer Science, Mathematics, or related field
3+ of experience in programming languages such as Python and experience with putting machine learning code into production
Experience in training LLMs, such as Llama, DeepSeek or similar
Experience in designing benchmarks and evaluating LLM applications
Passion for exploring new technologies and techniques to enhance improve algorithm performance and product features
Strong communication, collaboration, and problem- solving skills.

Requirements:
What we need to see:

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

5+ years of experience as a software engineer,

Proficiency in programming languages such as Python, Java, or similar.

Deep understanding of software development methodologies and engineering best practices.

Excellent problem solving skills and the ability to address complex technical challenges.

Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Proven track record of delivering high quality work on time and meeting project deadlines.


Ways to stand out from the crowd:

Expert level knowledge of the Python programming language.

Experience with Kubernetes networking.

Strong knowledge of the Linux operating system.

Requirements:
What we need to see:

BSc or above in Computer Science, Computer Engineering, or a related field.

5+ years of relevant practical experience in software development, including significant work on a large-scale software system with strict performance considerations.

Proficiency in C++ and Python with knowledge of optimization techniques for improving system performance.

In-depth knowledge of computer science fundamentals, and computer architecture.

Excellent system perspective - you must be able to grasp the impact each layer on the system and the users.

Independent and motivated individual with strong communication skills.


Ways to stand out from the crowd:

Development experience in a large, multidisciplinary simulation environment with many collaborators and diverse technical challenges.

Familiarity with discrete event simulators (e.g., OMNeT++, SystemC, or proprietary architectural simulators).

Knowledge of multi-core computation, code parallelization and relevant technologies (e.g. MPI).

Prior experience with cloud computing and parallelization of computational workloads.

Experience in developing CI/CD pipelines and integrating services.

Requirements:
4+ years as an SDET or quality engineer, building production-grade testing infrastructure - with the confidence to do it again from zero. Hands-on managerial experience is an advantage.
Understanding of Linux internals (memory, processes, syscalls) (advantage)
Hands-on experience with Kubernetes, cloud environments (AWS/GCP/Azure), and Docker
Strong scripting (Python, Bash), ability to read low-level code (Go/C/C++), and comfort writing SQL to analyze test and detection data
Experience with CI/CD, infrastructure-as-code (Terraform/Ansible), and observability tooling (Prometheus, Grafana)
Team player with strong collaboration skills
Experience with performance profiling (advantage)

Requirements:
Several years of systems programming in Rust, C, or C++, working close to the OS.

Hands-on experience with the internals of at least one of Windows or macOS (services or daemons, process and file APIs, security frameworks), and the willingness to learn the other.

Care with correctness and failure handling. This code runs as root and SYSTEM, and it can't crash on a customer's machine.

Comfort with concurrency, IPC, and debugging problems that only show up on real hardware.

Requirements:
4+ years of experience as a Data Analyst / Business Analyst - Must
Strong hands-on experience with SQL - Must
Experience working with BI / visualization tools (e.g. Looker, Tableau, Power BI, Metabase, or similar)
Proven track record of translating data into clear business insights and recommendations
Experience in gaming or B2C user-centric products -Must- strong focus on user behavior analysis, conversion funnels, and feature performance.
Strong analytical skills, including working with large datasets and complex models
Excellent communication skills, with the ability to simplify complex findings for different audiences
Self-driven, curious, and comfortable working in a dynamic, high-growth startup
Experience with Python for data analysis (e.g. pandas, notebooks) and/or AI-based tools for analytics (e.g. AI copilots, LLM-powered analysis) - Advantage

Requirements:
5+ years of experience building scalable backend systems and end-to-end web applications
Strong backend development experience in Node.js / TypeScript
Experience designing and working with microservice architectures
Solid experience with cloud-based environments (AWS - preferred)
Familiarity with NoSQL databases (e.g. MongoDB), caching solutions (e.g. Redis)
Experience with containerization tools such as Docker (Kubernetes - advantage)
Strong understanding of software design, system architecture, and production-grade systems
Excellent problem-solving skills and a proactive, ownership-oriented mindset
Strong communication and collaboration skills
Startup mindset: adaptable, hands-on, and comfortable working in a fast-growing environment

Requirements:
Have strong software engineering fundamentals and multiple years of production experience.

Have experience working in multidisciplinary teams, and can adapt to rapidly evolving challenges.

Enjoy working at the intersection of engineering and applied research.

Are interested in AI and cybersecurity (experience in machine learning or cybersecurity is a plus but not necessary).

Care about the societal impacts of your work.

Requirements:
5+ years of software engineering experience
Demonstrated ability to build, ship, and maintain production-grade systems
Passionate about understanding the inner workings of the technology stack - from high level abstractions down to bits, bytes and hardware implications
Comfortable working across boundaries and with multiple technologies and stacks - whether that means frontend, backend, mobile, or infrastructure
Strong technical fundamentals and architectural judgment
Proficient in one or more of: TypeScript/Javascript (React/Node.js), Python, Java, Kotlin, Swift, Go, Scala or C++
Experience troubleshooting, debugging, and improving systems based on real-world behavior
A mindset of responsibility and care for what you build-not just delivering code, but building systems that run well in the wild

Requirements:
7+ years of hands-on Python experience- Must
Experience in writing and maintaining production code for large systems - Must
Deep understanding of design patterns, systems & SW architecture - Must
Proven track record handling code review, testing, and system integration - Must
Proven experience providing open source code - Strong advantage
B.Sc. or higher degree in Computer Sciences, EE, or equivalent.
Personal Skills:
Passionate about technology, driven by challenges, and inspired by the opportunity to build fascinating, multi-disciplinary products & solutions.
Strong engineering capabilities with a can-do attitude.
Excellent communication and teamwork skills.
Capable of executing under uncertainty in a dynamic environment
Enjoy working in a cross-geography, multi-site environment.
Excellent verbal and written skills in English.

Requirements:
- 5+ years of hands-on DevOps experience with a strong software development background - prior development experience is a must
- B.Sc. in Computer Science or equivalent practical experience
- Strong programming skills in Python (or a similar high-level language); ability to write and own production tooling
- Proven experience designing and building scalable systems, automation frameworks, and infrastructure as code using Terraform and Helm
- Solid understanding of Linux, containers (Docker), and Git-basd workflows
- Hands-on experience with CI/CD at scale using GitHub Actions or similar - including reusable actions, workflow design, and automation frameworks
- Deep experience with hybrid cloud infrastructure (AWS and on-prem), including EKS, ARC, Karpenter, ECR, S3, Direct Connect, VPC endpoints, IAM/OIDC, and Secrets Manager
- Experience operating spot and on-demand runner pools for builds, DinD tests, releases, and security scans across multiple AWS regions
- Experience with DinD environments (Sysbox, EBS/NVMe, memory limits, overlay storage, MTU/networking) and build caching (BuildKit, sccache, Valkey)
- Experience connecting on-prem/self-hosted runners and routing physical device (wbox) test jobs by site and device type
- Experience implementing DevSecOps controls and improving platform observability, cost efficiency, and reliability
- Platform & tooling familiarity: Kubernetes (EKS, on-prem) GitHub Actions ARC Karpenter Terraform Helm Docker/DinD Sysbox containerd BuildKit ECR S3 ElastiCache (Valkey) sccache Direct Connect VPC endpoints IAM/OIDC Secrets Manager self-hosted runners
Soft Sills:
- Strong system-level thinking and troubleshooting skills; able to diagnose and resolve complex infrastructure issues independently
- Takes end-to-end ownership and drives problems to resolution without hand-holding
- Excellent communication and cross-team collaboration skills; comfortable working alongside large engineering organizations
Nice to Have / Advantage
-Experience with Jenkis
- Familiarity with GitHub merge queue
- Experience with MinIO or on-prem S3 caching
- Hardware-in-the-loop CI experience
- MTU/VPC networking tuning expertise
- Monorepo CI optimization experience

Requirements:
5+ years of experience in software development, with strong hands-on coding skills
Strong proficiency in Python
Experience developing and deploying production-grade systems
Solid understanding of system design, scalability, and performance optimization
Experience working in Linux environments
Ability to work independently and navigate large, evolving codebases
Strong problem-solving skills and a pragmatic engineering mindset
Nice to Have / Bonus Skills:
Experience in computer vision (OpenCV, object detection, PyTorch, TensorRT)
GPU acceleration (CUDA, CuPy, ONNX Runtime)
Edge/embedded systems experience (NVIDIA Jetson, JetPack, ARM64)
Camera integration (industrial SDKs, ONVIF, RTSP)
3D geometry and calibration
GUI development (Qt / PySide6)

Requirements:
* 8+ years of software development experience (or equivalent military experience).
* Expertise in system programming and Python programming - required.
* Solid understanding of OS internals with hands-on experience in low-level programming ( Android / Linux bootloaders and Kernel ) - required.
* Experience with C / C ++ programming and reverse engineering - advantage.
* Proactive, curious mindset with strong problem-solving skills.
* Excellent team-player with the ability to independently learn and explore new technologies.


This position is based at our Tel Aviv office in Alon Tower.
#LI-CA1

Requirements:
- BSc or Master's degree in Computer Science, Mathematics, or Engineering.

- At least 5 years of commercial experience in Python.

- At least 3 years of hands-on commercial MLOps experience in production (not side projects).

- Experience managing or leading a team of engineers, with ownership of both people and delivery.

- Hands-on experience owning the ML model lifecycle (training, deployment, monitoring, retraining).

- Experience with pipeline orchestrators such as Dagster or Airflow.

- Experience with a major cloud provider such as GCP, AWS, or Azure.

- Experience with distributed computing systems.

- Experience with Docker.

- Experience with Kubernetes.

- Commercial experience writing and maintaining scalable ML systems.

- Fluent in English, both written and spoken.

Requirements:
5+ years of hands-on experience in data science and machine learning with a proven record of leveraging modeling into business outcomes.
Proficiency in Python and its ML/data stack (e.g., PyTorch or TensorFlow, Pandas, NumPy, Scikit-learn).
Expertise in time-series forecasting, ideally Deep Learning based, preferably in demand prediction or related areas.
Feature engineering, feature importance testing, explainability based experience.
Masters or PhD in Computer Science, Machine Learning, Statistics, Engineering or a relevant field.
Solid understanding of ML production workflows (versioning, testing, reproducibility, and deployment).
Excellent communication and collaboration skills.